Recent posts

Kullback-Leibler and Wasserstein Distances

In mathematics, the concept of “distance” extends beyond the everyday understanding of the term. Typically, when we think of distance, we envision Euclidean distance, which is the straight-line distance between two points in space. This form of distance is familiar and intuitive, often represente...

Survival Analysis in Management

Explore the role of survival analysis in management, focusing on time-to-event data and techniques like the Kaplan-Meier estimator and Cox proportional hazards model for business decision-making.

Understanding t-SNE

In data analysis and machine learning, the challenge of making sense of large volumes of high-dimensional data is ever-present. Dimensionality reduction, a critical technique in data science, addresses this challenge by simplifying complex datasets into more manageable and interpretable forms wit...

Kernel Clustering in R

Clustering is one of the most fundamental techniques in data analysis and machine learning. It involves grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar to each other than to those in other groups. This is widely used across various fields...